Triple
T21909321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahakavi |
E541020
|
entity |
| Predicate | MahaMeans |
P145596
|
FINISHED |
| Object | great |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: great | Statement: [Mahakavi, MahaMeans, great]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MahaMeans Context triple: [Mahakavi, MahaMeans, great]
-
A.
oniMeaning
Indicates that one entity expresses or conveys the meaning or sense of another entity (such as a word, phrase, or symbol).
-
B.
MiriMeaning
Indicates that one entity conveys or expresses a particular meaning, sense, or significance with respect to another entity.
-
C.
ÓMeaning
Indicates that one entity conveys, defines, or expresses the sense, significance, or interpretation of another entity.
-
D.
associatedWithMahavakya
Indicates a relationship in which something is connected or related to a Mahavakya (a great Vedic or Upanishadic saying), typically by expressing, embodying, or being derived from it.
-
E.
meaningOfItmad
Indicates that one entity represents the meaning, interpretation, or semantic content of another entity referred to as "itmad."
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d8c3108190a178ec6b3857da3f |
completed | April 28, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c187bc548190b4ca13150f6bae38 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 7:39 p.m.